class_docstr: The type of the wrapped model returned from [`DdpAccelerator.wrap_model`](#wrap_model).
code: def state_dict(self, *args, **kwargs) -> StateDictType:
      return self.model.state_dict(*args, **kwargs)
  
imports: import os
  from typing import Union, Tuple, OrderedDict, Dict, NamedTuple, List, Optional, Any, Sequence, TYPE_CHECKING
  import torch
  import torch.distributed
  from torch.cuda import amp
  from torch.nn.utils import clip_grad_norm_
  from allennlp.common import Registrable
  from allennlp.common.util import int_to_device
  from allennlp.nn.parallel.sharded_module_mixin import ShardedModuleMixin
label_desc: Use image node_id 5 for calling the DdpWrappedModel obj's underlying member method code with example usage: obj.state_dict() and returns: self